This is part of a larger conversation between, Dr Nay Aung, Dr Steffen Petersen and Dr Alborz Amir-Khalili.
Dr. John S. Rumsfeld, Chief Innovation Officer, American College of Cardiology provides crucial advice and insights for fellow cardiologists
1. Artificial intelligence in cardiology is more than using deep learning for cardiovascular imaging interpretation and can be extended into wearable technology (edge AI), administrative tasks (robotic process automation), and decision making (recurrent neural network for time series data).
One of the sessions at the AIMed Cardiology virtual conference took place yesterday (4 November) was on real-time applications of artificial intelligence (
Case Study 1: Repurposing an old tool using artificial intelligence (AI)
Background: Electrocardiogram (ECG) was invented in 1895 and it has not changed much over the years, including the way results are being reported and printed out from the machine. Tr
Cardiology is no stranger to artificial intelligence (AI). It’s getting more common to deploy machine learning to interpret electrocardiograms (ECGs) for its potential to assist physicians during invasive e
“I am formally trained as a cardiac-electrophysiologist and for the past 40 years I have prescribed a medication known as Amiodarone. This medication interacts with almost every other drug; especially the blood thinner, Warfarin, which is meant to prevent stokes from atrial fibrillation. Despite